Tag: Citizen Data Scientist

Citizen Data Scientists Can Partner With Data Scientists!

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August 6, 2024

A Citizen Data Scientist Initiative Can Optimize Data Scientists and Encourage a Data-Driven Culture!

According to some estimates, the average salary of a Data Scientist in the United States is over $150,000 per year. If your business wishes to accommodate a ‘data-first’ strategy to improve metrics and measurable success and avoid guesswork and strategies that are based on opinion rather than fact, it can either employ a team of expensive professionals, or it can take a different approach.

‘Citizen Data Scientists can use their knowledge of a business sector, industry, function or market to drive questions and develop reports and presentations to illustrate issues, identify problems and find opportunities for growth and competitive positioning, and share this data (and the search and analytical techniques) with other users.’

Citizen Data Scientists are business users who have a place on your team and are hired because of their professional and career experience in a particular industry, business function or discipline. When they are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., with data integrated from databases, best-of-breed software programs, ERP, SCM, HRM and other systems and use sophisticated analytical tools in an easy-to-use, intuitive environment to gather and analyze data and produce insightful, concise results that are meaningful to their role.

Leverage Citizen Data Scientists to Augmented Data Scientist Teams

Depending on the size, market and industry of your business, you may choose to augment your staff with one or more data scientists to refine results produced by Citizen Data Scientists on a day-to-day basis. So, if a power user or business users discovers a challenge or an opportunity and your management team wishes to further explore the issue to understand its strategic or operational value, a Data Scientist can take the predictive model or other analytical report produced by a Citizen Data Scientist and refine the results for executive review.

Whether you choose to employ the services of a Data Scientist, provide business analysts or IT professionals to support your business users, you can create a comprehensive foundation for analytics across your organization.

By democratizing data analytics you can achieve many benefits, including:

  • Improved Data Literacy Across the Enterprise
  • Improved Productivity of Data Scientists, IT and Business Analysts (who can spend time on strategic initiatives rather than producing daily reports)
  • Optimized Return on Investment (ROI) and Total Cost of Ownership (TCO) for all software and systems
  • Fact-Based Decisions and Metrics-Driven Strategies, Goals and Objectives
  • Team Member Career Advancement
  • Optimization of Resources and Improved Team Productivity

A comprehensive self-serve augmented analytics solution will include Modern Business Intelligence (BI) and Reporting with Key Performance Indicators (KPIs), Self-Serve Data Preparation, Assisted Predictive Modeling, and Smart Data Visualization with auto-suggestions to drive the analytical techniques and illustration of data based on data type, volume, etc., and other tools like Embedded BI, Mobile BI, Key Influencer Analytics, Sentiment Analysis, and Anomaly Alerts and Monitoring.

With these tools, the Citizen Data Scientist can leverage Natural Language Processing (NLP) and search analytics with machine learning to ask questions using simple human queries and receive insightful answers. They can use their knowledge of a business sector, industry, function or market to drive questions and develop reports and presentations to illustrate issues, identify problems and find opportunities for growth and competitive positioning, and share this data (and the search and analytical techniques) with other users.

Citizen Data Scientists can predict customer responses to new product features, and to new marketing campaigns, analyze the likelihood of fraud or risk, identify supply chain issues, etc. These tools can also help the organization to foster collaboration and data sharing and encourage business users to innovate, create and explore opportunities using data-driven, factual information.

‘When Citizen Data Scientists are given access to data analytics, they can merge their knowledge of an industry, e.g., research, healthcare, law, finance, sales, supply chain, production, construction etc., with data integrated from databases, best-of-breed software programs, ERP, SCM, HRM and other systems and use sophisticated analytical tools in an easy-to-use, intuitive environment to gather and analyze data and produce insightful, concise results that are meaningful to their role.’

These are just a few of the factors you must consider when implementing a Citizen Data Scientist approach. Business users who are interested in becoming a Citizen Data Scientist must be willing to embrace new technology and tools and working at the leading edge of a new approach to collaboration and decision-making. initiative. Consider engaging an expert for your Citizen Data Scientist. IT consultants with experience and skill in this area can provide crucial support to help you succeed with your Citizen Data Scientist initiative and can provide simple Training Programs to bring your team on board and help them see the value to themselves and to the organization.

Original Post : Leverage Citizen Data Scientists to Augmented Data Scientist Teams!

Understanding and Addressing Data Anomalies in Business!

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June 18, 2024

How Can My Business Understand and Handle Those Pesky Data Anomalies?

Why guess at the cause of your business results? Whether you are seeing positive or negative results, it is still important to understand the ‘why.’ Without this information, you cannot adapt and adjust to improve declining results, OR repeat and improve those great results you are experiencing.

Continue reading “Understanding and Addressing Data Anomalies in Business!”

Augmented Analytics Provides Benefits to Data Scientists!

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May 17, 2024

When an enterprise undertakes an Augmented Analytics project, it is typically doing so because it wishes to initiate data democratization, improve data literacy among its team members and create Citizen Data Scientists. The organization looks for a solution that is easy enough for its business users and intuitive enough to produce clear results; one that also provides sophisticated functionality and features and will produce a suitable Return on Investment (ROI) and Total Cost of Ownership (TCO).

Continue reading “Augmented Analytics Provides Benefits to Data Scientists!”

White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

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May 9, 2024

White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists to improve results and team skills. Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Continue reading “White Paper – Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics”

Augmented Analytics Must Provide Data Quality and Insight!

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April 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics?

There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data. These enterprises will typically focus on building a team of data scientists or business analysts to help with this task OR they might take on an augmented analytics initiative to provide access to data and analytics for their business users. This is where businesses will often face a second issue; namely that the analytics solution they choose is not designed to easily and quickly provide insight into data and to ensure data quality.

Continue reading “Augmented Analytics Must Provide Data Quality and Insight!”

AI In Analytics: Today and Tomorrow!

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April 19, 2024

Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Gartner recently estimated that the market for AI software will be nearly $134.8 billion, with the market growing by 31.1% in next several years. In a recent survey of C-suite executives, 80% of said they believe AI will transform their organizations, and 64% said it is the most transformational technology in a generation.

(more…) "AI In Analytics: Today and Tomorrow!"

Key Influencer Analytics Tells You How to Succeed!

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March 19, 2024

Use Key Influencer Analytics to Understand What Factors Impact Success!

Suppose you are trying to understand why a marketing campaign is failing, or what factors cause your customers to buy your services again. What if you need to know whether the color of a product affects the number of units sold in a particular country or area of a country? There are so many variables and components that can affect business success, and understanding the relationship among all the factors of success can seem like a guessing game.

When you are faced with this quandary, it is wise to use analytics to take the guesswork out of the equation. But how do you begin to analyze all the factors at play?

‘Can an augmented analytics tools tell you what algorithm or analytical technique to use? Can it help you understand the relationships of various factors and issues and determine what changes will help you improve the revenue for a product, or help you create a new service package?’

Statistical and analytical experts will tell you that there are three primary factors that can help you decide on the metrics to use for your analysis:

  • The type of data you want to analyze – Understanding the data type can help you decide whether you need to consider a binary approach or look at categories, etc.
  • The character of the data you want to analyze – Are you looking at product attributes, a specific threshold or data range, etc.
  • What you want to accomplish with your analysis – Do you want to identify trends or patterns or are you trying to understand the relationships among the various factors and which factors affect success?
Key Influencer Analytics Helps You Understand Success

…and there is one more critical issue you must consider. Namely, who is doing the analysis? If you want to democratize data and improve data literacy across your enterprise, you will want your business users to understand and use analytical tools. But your team members are not statisticians or data scientists. So, they will need easy-to-use augmented analytics tools.

But can an augmented analytics tools tell you what algorithm or analytical technique to use? Can it help you understand the relationships of various factors and issues and determine what changes will help you improve the revenue for a product, or help you create a new service package?

One of the most frustrating tasks a business user has in analytics is finding and gathering the right data for analysis and ensuring that all factors, variables and data that may affect the outcome of the analysis is included. Depending on the size of the dataset a user selects, there may be hundreds or thousands of variables, and business users often find it difficult to identify the rights ones. Yet without the ability to identify the right variables, the business is likely to measure and attend to the wrong things.

That’s where Key Influencer Analytics comes into play! This approach puts the power and clarity of targeted analytics in the hands of business users and support Citizen Data Scientist initiatives and the critical goals of Data Literacy across the organization.

The user can simply point to the dataset they want to analyze and the system will identify the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The system will auto-suggest relationships and present distribution and impact using the most appropriate visualization.

Users enjoy interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs. Key Influencer Analytics empowers every business user and allows them quickly select and target data to achieve results without the assistance of a data scientist, IT professional or analyst.

Key Influencer Analytics will:

  • Identify feature importance based on machine learning algorithms
  • Interpret insights in simple language
  • Measure statistics
  • Reveal influencers with impact on the target
  • Auto recommend influencers
  • Identify data relationships with interactive visualization

With these tools, business users can identify what matters most within the data, and how the various factors and relationships impact success, and they can understand the interdependence of variables and leverage auto-suggestions and machine learning functionality to gain insight. Users can also leverage the features within the tool to consider various combinations and the impact of those combinations on the success of the project, product or plan.

‘There are so many variables and components that can affect business success, and understanding the relationship among all the factors of success can seem like a guessing game.’

Find out how Key Influencer Analytics can benefit your business users and support Citizen Data Scientists, and how it can provide an advantage to your data scientists, business analysts and IT team members.

Original Post: Key Influencer Analytics Tells You How to Succeed!

Augmented Analytics with Auto Insights Support Business Users!

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March 7, 2024

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too!

Gartner classifies essential augmented analytical components and technologies as follows:

  • Machine learning
  • Natural Language generation and natural language processing
  • Automation

‘Combine the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined auto insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.’

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

One such feature that users will look to for quick results and clear, concise decision support is the concept of auto insights.

Auto Insights Adds Clarity and Ease-of-Use to Augmented Analytics

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level.

Auto Insights frees business users and reduces the time and skills required to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

Using this approach, business users will no longer have to select data columns or analysis techniques such as classification or clustering. Instead, the user will simply select the dataset to be analyzed. That’s it!. The system interprets the dataset, selects important columns of data, analyzes type and variety and other parameters and then uses intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insights.

Users can easily understand data and apply correlation, classification, regression, or forecasting, or other appropriate technique(s) based on the data the user wishes to analyze. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

By combining the three essential components specified by Gartner to create a comprehensive augmented analytics solution with refined insights and clear, concise results, the enterprise and its business users can perform complex data analytics and share analysis across the organization in a self-serve, mobile environment.

This approach provides support for sophisticated, advanced analytics and smart data visualization to automate the analysis process, so business users can simply point to a dataset and let the system do the rest.

‘The combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.’

Find out how Smarten Auto Insights can help your team and your organization. Leverage the essential components of Augmented Analytics, as defined by Gartner, and provide seamless, easy-to-use, sophisticated features and functionality to support your business users and transition your team members to Citizen Data Scientists.

Original Post: Augmented Analytics with Auto Insights Support Business Users!

Citizen Data Scientists Need These 3 Things to Succeed!

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March 5, 2024

3 Primary Components for Citizen Data Scientist Success!

The Citizen Data Scientist phenomenon is in full swing and, while the approach has its detractors, the proof is in success, and many organizations are actively succeeding using the Citizen Data Scientist approach.

Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

‘The enterprise does not expect to hire a legion of data scientists to perform analytics for every day-to-day need within the organization.’

There are many benefits of transitioning business users to a Citizen Data Scientist role, including:

  • Improved data literacy
  • Increased Data Democratization
  • Improved Collaboration
  • Increased Productivity
  • Improved Alignment with Goals and Objectives
  • Optimization of Data Scientist and IT Resources
  • …and more!
3 Keys to Citizen Data Scientist Success

There are many factors and components inherent in the success of a Citizen Data Scientist. If you are a Citizen Data Scientist candidate, there are three primary components of success:

  1. Organizational Commitment and Support – A business cannot just say they are committed to the Citizen Data Scientist approach. It must plan carefully and include a complete review of the current workflow, business processes and technology in order to make the changes required to support the new program. Citizen Data Scientists must be supported with revisions to performance evaluations and promotions. These revisions should encourage and enable the use of augmented analytics and collaboration so that business users are rewarded for acquiring and using new skills.
  2. Appropriate Augmented Analytics Tools – As with any other type of position or job, a Citizen Data Scientist needs the right tools to succeed. Without the right analytics tools, business users cannot make a successful transition to a Citizen Data Scientist role. The enterprise does not expect to hire a legion of data scientists to perform analytics for every day-to-day need within the organization but, if business users are expected to perform analytical activities, they will need easy-to-use tools that are sophisticated enough to achieve results, without requiring complex analytical skills or lengthy training. Augmented Analytics tools that are designed for business users should provide a foundation of machine learning and natural language processing (NLP) so search analytics is as easy as asking a question in a Google-type interface, with features like Smart Data Visualization, Assisted Predictive Modeling and Self-Serve Data Preparation.
  3. Curiosity and the Willingness to Explore – A prospective Citizen Data Scientist should have at least an average technology capability, with above average curiosity and a willingness to learn and collaborate. The ideal candidate should be recognized as someone who interacts well with others, and is willing to mentor others and help them become comfortable with new tools and processes.

‘If you are a Citizen Data Scientist candidate, there are three primary components of success.’

These are just a few of the factors you must consider when implementing a Citizen Data Scientist approach. Business users who are interested in becoming a Citizen Data Scientist must be willing to embrace new technology and tools and working at the leading edge of a new approach to collaboration and decision-making. initiative. Consider engaging an expert for your Citizen Data Scientist. IT consultants with experience and skill in this area can provide crucial support to help you succeed with your Citizen Data Scientist initiative and can provide simple Training Programs to bring your team on board and help them see the value to themselves and to the organization.

Original Post: Citizen Data Scientists Need These 3 Things to Succeed!

Give Your Business Users Mobile BI to Ensure Success!

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February 7, 2024

Why Should My Enterprise Provide Mobile Business Intelligence (BI) Tools to Business Users?

Many businesses are beginning to see and leverage the value of business intelligence and augmented analytics within the organization to engender data democratization, improve data literacy and collaboration and improve results. In a competitive global and local business environment, this move toward analytics for all is a positive thing.

If your business is considering BI tools or augmented analytics, or if you have already implemented these tools within the enterprise, there is one more question to answer.

Does your organization provide Mobile BI to its business users? If it does not, you are missing out on a crucial opportunity and a critical business advantage.

‘Mobile augmented analytics can benefit your business users and help to transform them into Citizen Data Scientists.’

When considering a Mobile BI app, it is important to verify ease of access and availability of data on the road and anywhere your team may be working, and to ensure that your team has tools that are easy-to-use and will enable user adoption.

Can My Business Users Benefit from Mobile BI?

If you select the right mobile business intelligence (BI) app, you can enjoy the following benefits:

  • A native app, with seamless user interface for a great user experience (Ux). Available for iOS and Android
  • Extends the office environment. Allows swift analysis and decisions from anywhere
  • Encourages user adoption and provides support for BI investments and data democratization
  • Access rights are defined on the server so security and privacy is ensured at all levels
  • Supported by a server that is hosted anywhere within IT infrastructure –on premises, public or private cloud
  • Business Users will have access to dashboards, reports, Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality
  • Start-up is easy, within a few minutes and support is readily available

The right Mobile BI App should include the following components and features:

  • Provide access to Dashboards, Graphs, KPIs, PDF reports, and Clickless Analytics – NLP Search – all from within the mobile app.
  • Users login with an enterprise login, browse and search objects, and access objects for interactive analysis with access to ‘my favorites’ for quick navigation, i.e., objects marked as favorites, and recently used objects.
  • Download Smarten objects via PDF, XLS, and other file formats and share via WhatsApp, email or other sharing app loaded on their device.
  • Natural Language Processing (NLP) search, where users can query a dataset with a Google-type interface where a user can compose a question using natural English language and receive answers using visualization that provides the best-fit for the user inquiry. With natural language-processing-based search capability, users do not need to scroll through menus and navigation. Enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.
  • No requirement to redesign or customize dashboards and reports to accommodate a mobile device. Dashboards and Reports are displayed and optimized for the best user experience on the mobile device.
  • Licensing fees are affordable and implementation is easy and fast.

‘When considering a Mobile BI app, it is important to verify ease of access and availability of data on the road and anywhere your team may be working, and to ensure that your team has tools that are easy-to-use and will enable user adoption.’

Find out how Mobile BI and mobile augmented analytics can benefit your business users and help to transform them into Citizen Data Scientists, and how it can provide an advantage to your data scientists, business analysts and IT team members.

Original Post: Give Your Business Users Mobile BI to Ensure Success!